Dike vs Open-WebUI

Dike and Open-WebUI are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Dike

Route your OpenAI-compatible traffic through Dike and every prompt, retrieval step, and completion becomes a sealed, cryptographically verifiable audit record — the kind an auditor can check, not just a log you printed yourself. PII is stripped before anything touches storage, flagged responses queue for human sign-off, and when a serious incident fires, Dike opens the Article 73 case and starts the 15-day reporting clock automatically. The gateway is fail-open, so if audit storage goes unreachable, your requests still reach the model. The ceiling appears when your compliance requirements go beyond what a passive proxy can enforce — custom risk-scoring logic, multi-jurisdiction rules, or on-premises data residency all require architecture Dike does not currently offer.

Open-WebUI

Open WebUI is a self-hosted chat interface that connects to local models via Ollama, cloud providers like OpenAI and Anthropic, or any API-compatible endpoint — all from a single install that takes one command and under a minute. Your data stays on your infrastructure. The community layer lets teams browse, install, and share prompts, tools, and Python-based pipeline functions built by 448K other users, so you are not building every capability from scratch. Where it breaks: Open WebUI is a platform, not an agent system — teams that need autonomous multi-step task execution will hit that ceiling fast. Custom logic requires writing Python pipeline functions, which means a developer on the hook whenever the workflow changes.

Attribute	Dike	Open-WebUI
Pricing	Paid	Paid
Price	€49/mo	—
Free trial	No	No
Open source	No	Yes
Has API	Yes	Yes
Self-hosted option	No	Yes
Platforms	Web gateway	Web, Docker, pip
Released	—	2023
Pros	Hash-chained, tamper-evident audit records generated automatically for every call, so when an auditor asks for cryptographic proof that logs were not altered, you export a file instead of defending a claim. PII redacted at the gateway before anything is written to storage, which means GDPR exposure from prompt contents does not accumulate in your audit logs over the legally required 6-month retention window. Article 73 incident reporting opens a case and tracks the 15-day regulatory clock automatically, so serious incidents do not slip past the deadline while your team is still triaging. RAG-specific retrieval logging records which documents the model actually used per response, satisfying the Article 12(2) evidence requirement that a plain chat transcript cannot meet. Fail-open gateway design means an audit storage outage does not take down your production service — requests still reach the model provider, so compliance infrastructure does not become an availability liability.	One-command self-hosted install with no account required, so teams that cannot send conversation data to a third-party SaaS vendor have a compliant path from day one. Provider-agnostic model routing — Ollama for local, OpenAI or Anthropic for cloud, or any compatible endpoint — so swapping models when API costs spike or a better local option ships is a configuration change, not a rewrite. Python pipeline functions let developers extend retrieval, search, and execution behavior directly inside the interface, which means custom RAG logic does not require a separate application layer bolted alongside. Community-built prompts, tools, and functions are installable from the platform's public library, so teams avoid rebuilding capabilities that 448K other users have already shipped and reviewed. SSO, role-based access controls, and audit logs are available for enterprise deployments, so regulated industries can satisfy access review requirements without switching to a different tool.
Cons	No self-hosted deployment option exists; all traffic routes through Dike's hosted infrastructure. Teams whose security policy prohibits third-party proxies on the production inference path, or whose legal team requires data residency guarantees beyond EU-region cloud storage, cannot use Dike without a policy exception — and teams in that position typically move to building the compliance layer in-house or evaluating enterprise gateway vendors that offer on-premises deployment. The gateway is a passive proxy: it redacts, logs, blocks, and routes, but does not evaluate custom compliance rules. Teams needing per-user-role flagging logic, multi-jurisdiction rule sets, or dynamic risk scoring based on response content will reach the proxy's ceiling quickly and find themselves maintaining custom middleware on top of Dike — at which point they are running two systems. Dike is in closed beta at the time of writing; the vendor states teams must join a waitlist. Production availability, SLA commitments, and enterprise support terms are not publicly documented, which makes procurement sign-off harder for teams with formal vendor assessment requirements.	Open WebUI has no native agent system — it cannot run multi-step tasks on its own. Teams that need agents to browse, decide, and execute without a human triggering each step add a separate framework like LangGraph or CrewAI and use Open WebUI only as the front-end; at that point they are maintaining two systems and the interface is no longer the platform, just a skin. Custom workflow logic requires writing Python pipeline functions. Every time a non-standard integration or branching behavior is needed, a developer writes and deploys new code — there is no visual workflow editor. Teams that wanted to hand pipeline management to a non-technical operator hit this wall on the first complex integration. The Open WebUI License includes a branding requirement on redistribution. Teams planning to ship a white-labeled internal AI tool under their company name must negotiate with the vendor or move to a fork under the older BSD-3 terms — neither path is friction-free, and some teams switch to a fully permissive-licensed alternative rather than manage the compliance overhead. Enterprise features — SSO, RBAC, audit logs — are behind a paid licensing tier that requires contacting the vendor's sales team. There is no self-serve path to enable these controls, which means regulated teams cannot go from install to compliant deployment without a sales conversation first, adding lead time to any enterprise rollout.

Bottom line

Open-WebUI is open source; only Open-WebUI can be self-hosted; Dike runs on Web gateway; Open-WebUI on Web, Docker, pip. Pick the difference that actually blocks you.

Frequently asked questions

What is the difference between Dike and Open-WebUI?

Dike is Paid, while Open-WebUI is Paid and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Dike better than Open-WebUI?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.